import os

from trainer import Trainer, TrainerArgs

from TTS.config.shared_configs import BaseDatasetConfig
from TTS.tts.configs.delightful_tts_config import DelightfulTtsAudioConfig, DelightfulTTSConfig
from TTS.tts.datasets import load_tts_samples
from TTS.tts.models.delightful_tts import DelightfulTTS, DelightfulTtsArgs, VocoderConfig
from TTS.tts.utils.speakers import SpeakerManager
from TTS.tts.utils.text.tokenizer import TTSTokenizer
from TTS.utils.audio.processor import AudioProcessor

data_path = "/raid/datasets/vctk_v092_48khz_removed_silence_silero_vad"
output_path = os.path.dirname(os.path.abspath(__file__))


def main():
    dataset_config = BaseDatasetConfig(
        dataset_name="vctk", formatter="vctk", meta_file_train="", path=data_path, language="en-us"
    )

    audio_config = DelightfulTtsAudioConfig()

    model_args = DelightfulTtsArgs()

    vocoder_config = VocoderConfig()

    something_tts_config = DelightfulTTSConfig(
        run_name="delightful_tts_vctk",
        run_description="Train like in delightful tts paper.",
        model_args=model_args,
        audio=audio_config,
        vocoder=vocoder_config,
        batch_size=32,
        eval_batch_size=16,
        num_loader_workers=10,
        num_eval_loader_workers=10,
        precompute_num_workers=40,
        compute_input_seq_cache=True,
        compute_f0=True,
        f0_cache_path=os.path.join(output_path, "f0_cache"),
        run_eval=True,
        test_delay_epochs=-1,
        epochs=1000,
        text_cleaner="english_cleaners",
        use_phonemes=True,
        phoneme_language="en-us",
        phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
        print_step=50,
        print_eval=False,
        mixed_precision=True,
        output_path=output_path,
        datasets=[dataset_config],
        start_by_longest=True,
        binary_align_loss_alpha=0.0,
        use_attn_priors=False,
        max_text_len=60,
        steps_to_start_discriminator=10000,
    )

    tokenizer, config = TTSTokenizer.init_from_config(something_tts_config)

    ap = AudioProcessor.init_from_config(config)

    train_samples, eval_samples = load_tts_samples(
        dataset_config,
        eval_split=True,
        eval_split_max_size=config.eval_split_max_size,
        eval_split_size=config.eval_split_size,
    )

    speaker_manager = SpeakerManager()
    speaker_manager.set_ids_from_data(train_samples + eval_samples, parse_key="speaker_name")
    config.model_args.num_speakers = speaker_manager.num_speakers

    model = DelightfulTTS(
        ap=ap, config=config, tokenizer=tokenizer, speaker_manager=speaker_manager, emotion_manager=None
    )

    trainer = Trainer(
        TrainerArgs(), config, output_path, model=model, train_samples=train_samples, eval_samples=eval_samples
    )

    trainer.fit()


if __name__ == "__main__":
    main()
